Convert XLT to SQL in Python Excel Library
High-speed Python excel library for converting XLT to SQL. This is a professional software solution to import and export XLT, SQL, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert XLT to SQL Using Python Excel Library
How do I convert XLT to SQL? With Aspose.Cells for Python library, you can easily convert XLT to SQL programmatically with a few lines of code. Aspose.Cells for Python is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Python Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats.Save XLT to SQL in Python Excel Library
The following example demonstrates how to convert XLT to SQL in Python excel library.
Follow the easy steps to convert XLT to SQL. Upload your XLT file, then simply save it as SQL file. For both XLT reading and SQL writing you can use fully qualified filenames. The output SQL content and formatting will be identical to the original XLT document.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
jpype.shutdownJVM()
How to Convert XLT to SQL via Python
Need to convert XLT files to SQL programmatically? Python developers can easily load & convert XLT to SQL in just a few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load XLT file with an instance of Workbook.
- Convert XLT to SQL by calling Workbook.save method.
- Get the conversion result of XLT to SQL.
Python Excel Library to Convert XLT to SQL
There are three options to install “Aspose.Cells for Python via Java” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:
- Install Aspose.Cells for Python via Java in Windows. See Documentation
- Install Aspose.Cells for Python via Java in Linux. See Documentation
- Install Aspose.Cells for Python via Java in macOS. See Documentation
System Requirements
Aspose.Cells for Python via Java is platform-independent API and can be used on any platform (Windows, Linux and MacOS), just make sure that system have Java 1.8 or higher, Python 3.5 or higher.
- Install Java and add it to PATH environment variable, for example:
PATH=C:\Program Files\Java\jdk1.8.0_131;. - Install Aspose.Cells for Python from pypi, use command as:
$ pip install aspose-cells.
XLT What is XLT File Format?
Files with .xlt extension are template files created with Microsoft Excel which is a spreadsheet application which comes as part of Microsoft Office suite. Microsoft Office 97-2003 supported creating new XLT files as well as opening these. The latest version of Excel is still capable of opening this old format template files. Such a template file is used to quickly create new Excel files with default data and settings such as page formatting, font size, margins, charts, etc which can be further saved as new .xls files.
Read MoreSQL What is SQL File Format?
A file with .sql extension is a Structured Query Language (SQL) file that contains code to work with relational databases. It is used to write SQL statements for CRUD (Create, Read, Update, and Delete) operations on databases. SQL files are common while working with desktop as well as web-based databases. There are several alternatives to SQL such as Java Persistence Query Language (JPQL), LINQ, HTSQL, 4D QL, and several others. SQL files can be opened by query editors of Microsoft SQL Server, MySQL and other plain text editors such as Notepad on Windows OS.
Read MoreOther Supported Conversions
You can also convert XLT to many other file formats including few listed below.